LLaMA course
Gain complete expertise in LLaMA models, from data preparation and fine-tuning to deployment, safety protocols, monitoring, and evaluation. Build reliable, secure, and scalable AI assistants tailored for engineering and enterprise settings, ensuring they perform effectively over time.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This course teaches selecting suitable LLaMA models, efficient fine-tuning on single GPUs, and preparing quality data from internal documents. It covers secure deployment with APIs, monitoring, logging, scaling, privacy measures, and red-teaming. Additionally, you gain skills in thorough evaluation, CI integration, and efficient maintenance for sustained performance.
Elevify advantages
Develop skills
- Design LLaMA deployments: create efficient single-GPU APIs using clear JSON interfaces.
- Implement fine-tuning pipelines: conduct efficient LoRA/QLoRA tests on engineering documents.
- Prepare data for LLMs: clean, label, and enhance internal technical content securely.
- Ensure safety and privacy: apply PII protections, access rules, and operational safeguards.
- Conduct LLM evaluations: establish tests, metrics, and CI processes for consistent quality.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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